your mission

As Market Intelligence Manager, you will help IONITY anticipate what’s next in EV charging, energy and mobility - and translate that into clear insights that shape strategy and execution. You will own recurring market reporting, develop forecasts and models, and provide decision-ready analysis for senior stakeholders across Commercial, Product, Network, and Finance.

This role sits within Market & Business Intelligence and partners closely with Strategy, Partnerships, Pricing, Network Development, and Operations.

Key Responsibilities:

• Build a market intelligence engine: create a structured approach to tracking market dynamics (competitors, pricing, regulation, OEM moves, charging infrastructure, energy trends).
• Forecasting & modelling: develop and maintain forecasting models (e.g., demand, utilisation, coverage needs, competitor expansion scenarios), including sensitivity and scenario analysis.
• Market analysis & opportunity sizing: assess new markets, segments, and partnership opportunities; quantify impact and risks.
• Trend scouting: monitor and interpret external signals (policy, grid constraints, vehicle parc, technology shifts, customer behaviour) and communicate what matters.
• Reporting & executive-ready storytelling: produce recurring reporting packs and ad-hoc deep dives; turn complex analysis into crisp narratives, charts, and recommendations.
• Stakeholder partnership: run insight-gathering rhythms with internal teams; clarify decision questions and ensure outputs are actionable.
• Data discipline: define consistent assumptions and “single source of truth” logic across recurring analyses; document methods and maintain version control.

your profile

• 3 - 5 years experience in market intelligence, strategy/consulting, analytics, competitive intelligence, or a similar role.
• Experience in EV charging, energy, mobility, infrastructure, telecom, or other network-based businesses.
• Experience tracking regulatory and policy developments across European markets.
• Familiarity with Power BI (or similar), and working with data teams / BI pipelines.
• Strong quantitative skills: forecasting, modelling, scenario analysis; comfort balancing precision with decision timelines.
• Ability to communicate insights clearly - excellent writing and visual storytelling for executive audiences.
• Experience working cross-functionally and managing multiple stakeholders with competing priorities.
• High curiosity and structured thinking: you can spot patterns, challenge assumptions, and explain “so what?”.
• Experience applying ML/AI to market/competitive intelligence is a plus (e.g., time-series forecasting, clustering/segmentation, NLP for news & filings, automated signal detection), including comfort validating models and communicating limitations.
• Fluency in English

Originally posted on Himalayas